Update app.py

app.py

@@ -5,7 +5,7 @@ import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
 
-from Gradio_UI import GradioUI
+from Gradio_UI import GradioUI, AgentCloner
 
 # Below is an example of a tool that does nothing. Amaze us with your creativity !
 @tool
@@ -39,12 +39,12 @@ final_answer = FinalAnswerTool()
 # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
 # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
 
-model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
-custom_role_conversions=None,
-)
+# model = HfApiModel(
+# max_tokens=2096,
+# temperature=0.5,
+# model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
+# custom_role_conversions=None,
+# )
 
 
 # Import tool from Hub
@@ -56,18 +56,20 @@ web_browser = VisitWebpageTool()
 
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-    
-agent = CodeAgent(
-    model=model,
-    tools=[final_answer, get_current_time_in_timezone, web_search_engine, web_browser], ## add your tools here (don't remove final answer)
-    max_steps=6,
-    verbosity_level=1,
-    grammar=None,
-    planning_interval=None,
-    name=None,
-    description=None,
-    prompt_templates=prompt_templates
-)
 
+tools = [final_answer, get_current_time_in_timezone, web_search_engine, web_browser], ## add your tools here (don't remove final answer)
 
-GradioUI(agent).launch()
+# agent = CodeAgent(
+#     model=model,
+#     tools=[final_answer, get_current_time_in_timezone, web_search_engine, web_browser], ## add your tools here (don't remove final answer)
+#     max_steps=6,
+#     verbosity_level=1,
+#     grammar=None,
+#     planning_interval=None,
+#     name=None,
+#     description=None,
+#     prompt_templates=prompt_templates
+# )
+
+
+GradioUI(AgentCloner(tools, prompt_templates)).launch()